Big Data Solutions Architect

☞ Databricks

View: 140

Update day: 26-03-2024

Location: Zürich Zürich ZH

Category: IT - Software Part-time

Industry:

Job type: Temps partiel

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Job content

At Databricks you will work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us daily with interesting new big data and AI use cases. As a Big Data Solutions Architect at Databricks, you will report directly to the Manager, Resident Solutions Architecture. You will shape the future big data and the machine learning landscape for leading Fortune 500 organisations.

You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, for example implementing pipelines from data engineering through model building and deployment. A successful Big Data Solutions Architect is curious and excels in collaboration. As part of joining Databricks, you will have a direct channel to the developers of Apache Spark™, Delta Lake, and MLflow, and the opportunity to attend top big data conferences.

The impact you will have:

  • Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Use your expertise in data engineering best practices to guide customers to do the same, through building proofs of concept and prototypes, architecting solutions and even pair-programming with customer teams
  • Architect and validate migration of workloads from 3rd party databases and data platforms to Apache Spark™
  • Promote Apache Spark™ and Databricks, Delta Lake and MLflow across the developer community through meetups and conferences
  • Coordinate with Account Executives, Customer Success Engineers and Solution Architects for expanding the use of Databricks platform within strategic enterprise customers weekly

What we look for:

  • Deep hands-on expertise in Apache Spark™ (Scala or Python)
  • 5+ years experience with Big Data technologies
  • Familiarity with a full range of data engineering approaches, covering theoretical best practices and the technical applications of these methods
  • Experience building and deploying a range of data engineering pipelines into production, including using automation best practices for CI/CD
  • Experience with cloud providers such as AWS, Azure or GCP
  • Travel will be 30 - 40% regionally

Benefits

  • Life, accident and disability coverage
  • Company pension with employer contribution
  • Equity awards
  • Paid parental leave
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance

About Databricks

Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

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Deadline: 10-05-2024

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